Institute of Information Systems
Organisational unit: Institute
- Junior professorship for Information Systems, in particular Data Analytics
- Professorship for Computer Engineering
- Professorship for Information Systems, in particular Artificial Intelligence and Explainability
- Professorship for Information Systems, in particular Data Science
- Professorship for Information Systems, in particular Digital Transformation and Information Management
- Professorship for Information Systems, in particular E-Business and Knowledge Management
- Professorship for Information Systems, in particular Machine Learning
- Professorship for Information Systems, in particular Network Science
Organisation profile
At the Institute of Information Systems (IIS) of the Leuphana University we work on innovative topics in Information Systems and Data Science. The main focus is on digital transformation, e-health, e-commerce, business analytics, sports and e-learning. Methodologically, we focus on the development and use of machine learning and artificial intelligence methods for the modeling and solution of data-driven decision problems. Additional quantitative (e.g. graphs, optimization) and qualitative (e.g. interviews, reference modeling) methods complement this spectrum. Cooperating with other universities, companies, and institutions of the civil society plays an important role in our work.
Main research areas
At the Institute of Information Systems there are currently 6 professors and numerous research assistants. Our main research areas include digital transformation, e-health, e-commerce, business analytics, sports, and e-learning. Details can be found on the websites of the work groups and in the central research database of Leuphana. The Institute of Information Systems organized a number of events and conferences at Leuphana (e.g. ITEE 2013, final round of the German National Computer Science Competition 2014, MKWI 2018).
- 2020
- Published
‘Forewarned is Forearmed’: Overcoming Multifaceted Challenges of Digital Innovation Units
Raabe, J.-P., Horlach, B., Schirmer, I. & Drews, P., 2020, 26th Americas Conference on Information Systems, AMCIS 2020: Strategic and competitive uses of IT. A. F. I. S. (ed.). Atlanta: AIS eLibrary, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2020).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
Rudolph, Y., Brefeld, U. & Dick, U., 2020, In: Proceedings of Machine Learning Research. 137, p. 136-147 12 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Machine Learning and Data Mining for Sports Analytics: 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings
Brefeld, U. (Editor), Davis, J. (Editor), van Haaren, J. (Editor) & Zimmermann, A. (Editor), 2020, Cham: Springer International Publishing AG. 146 p. (Communications in Computer and Information Science; vol. 1324)Research output: Books and anthologies › Conference proceedings › Research
- Published
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I
Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 2020, Cham: Springer Nature Switzerland AG. 766 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)Research output: Books and anthologies › Conference proceedings › Research
- Published
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II
Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 2020, Cham: Springer Nature Switzerland AG. 732 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)Research output: Books and anthologies › Conference proceedings › Research
- Published
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III
Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 2020, Cham: Springer Nature Switzerland AG. 804 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)Research output: Books and anthologies › Conference proceedings › Research
- Published
Performance analysis for loss systems with many subscribers and concurrent services
Daduna, H. & Krenzler, R., 2020, Measurement, Modelling and Evaluation of Computing Systems : 20th International GI/ITG Conference, MMB 2020, Saarbrücken, Germany, March 16–18, 2020, Proceedings. Hermanns, H. (ed.). Cham: Springer, p. 118-135 18 p. (Lecture Notes in Computer Science ; vol. 12040 LNCS)(Programming and Software Engineering; vol. 12040).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Reconceptualising Business-IT Alignment for Enabling Organisational Agility
Horlach, B., Drews, P., Drechsler, A., Schirmer, I. & Böhmann, T., 2020, Proceedings of ECIS 2020: ECIS 2020 Research papers. A. F. I. S. (ed.). AIS eLibrary, 17 p. 95Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Supporting the Development and Realization of Data-Driven Business Models with Enterprise Architecture Modeling and Management
Rashed, F. & Drews, P., 2020, Business Information Systems - 23rd International Conference, BIS 2020, Proceedings: 23rd International Conference, BIS 2020, Colorado Springs, CO, USA, June 8–10, 2020, Proceedings. Abramowicz, W. & Klein, G. (eds.). Cham: Springer, p. 264-276 13 p. (Lecture Notes in Business Information Processing; vol. 389 LNBIP).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Enhancing Information Governance with Enterprise Architecture Management: Design Principles Derived from Benefits and Barriers in the GDPR Implementation
Burmeister, F., Huth, D., Drews, P., Schirmer, I. & Matthes, F., 01.2020, Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020: IT Governance and its Mechanisms. Bui, T. X. (ed.). Honolulu: University of Hawaiʻi at Mānoa, p. 5593-5602 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2020-January).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review